code: def conv2d(
      self, x: Tensor, w: Tensor, toChannelsLast: bool
  ) -> Tensor:
      r = torch.nn.functional.conv2d(x, w)
      if toChannelsLast:
          r = r.contiguous(memory_format=torch.channels_last)
      else:
          r = r.contiguous()
      return r
  
imports: from typing import Dict, List, Optional, Tuple
  import torch
  from torch import Tensor
label_desc: Use image node_id 20 for calling the Test obj's underlying member method code with example usage: obj.conv2d(x, w, toChannelsLast) and returns: r